| Summary: | 碩士 === 正修科技大學 === 工業工程與管理研究所 === 100 === Abstract
Up to date, the change of science development and technology changes are very fast that causes the manufacturing process of high-tech product changes with each passing day more and more. According to the high standard requirements of product quality, how to increase product quality and reduce cost becomes an important task. Particularly, in the intense commercial competition surrounding, how to effectively use statistical process control tools to monitor the entire process, as well as in the stability manufacturing process provides more precise quality rating methodology, are topics that industry must face.
The purpose of this study is to construct the new evaluation rules via the fuzzy number modeling and apply to analysis the interpretation of the extent and effectiveness of polysilicon ingot quality. Results of this study show that the new evaluation rules are able to greatly reduce the error judgment and the low sensitivity phenomena and to avoid the unnecessary cost loss in the quality control process that belongs to the shortcomings of the traditional control charts. These results not only can provide quality control personnel prepared to improve the strategy reference but also can assist the industry to upgrade quality control ability to control the quality under requirement.
Key words: Statistical Process Control, Fuzzy Modeling, Quality Evaluation.
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